Publication
] Transformer Module Networks for Systematic Generalization in Visual Question Answering. (2022).
CBMM-Memo-121.pdf (1.06 MB) version 2 (3/22/2023) (1.33 MB)
CBMM-Memo-121.pdf (1.06 MB) version 2 (3/22/2023) (1.33 MB) Teachers recruit mentalizing regions to represent learners’ beliefs. Proceedings of the National Academy of Sciences 120, (2023).
Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. Image and Vision Computing 142, 104894 (2024).